Principal investigator Oded Ben-Tal is a composer and researcher working at the intersection of music, computing, and cognition. His compositions include both acoustic pieces, interactive, live electronic pieces and multimedia work. Since 2016 he is working on a multidisciplinary research project applying state of the art machine learning to music composition. He is a senior lecturer at the Performing Arts Department, Kingston University

Co-investigator Federico Reuben  is a composer, live electronics performer, sound artist and Associate Professor at the University of York, where he leads the Music, Science and Technology Research Cluster (MSTRC). He specialises in developing new technologies for musical creativity utilising integrated and interdisciplinary approaches that combine artistic, scientific and engineering methods with a critical understanding of musical practice, listening conventions, and socio-musical relations.

Emily Howard is a composer who specialises in large-scale acoustic works known for their inventive connections with mathematical shapes and processes including Torus (BBC Proms 2016, BBC Archive Proms 2020, Winner 2017 British Composer Award) and Antisphere (2019), a Barbican commission for Sir Simon Rattle and the London Symphony Orchestra. Howard is Director of PRiSM, the RNCM Centre for Practice & Research in Science & Music, awarded a Research England Expanding Excellence in England (E3) funding in 2019.

Robin Laney is head of the School of Computing and Communications at the Open University. He is an interdisciplinary researcher with a focus on music and a background in software engineering. Interests include the role of AI in enhancing human creativity. Laney is co-editor of the Journal of Creative Music Systems and a Fellow of the Royal Society for the Arts.

Nicola Dibben is Professor in Music, and Faculty Director of Research at the University of Sheffield, UK. She has over 60 publications in psychology of music and popular music studies, and is former editor of the academic journals Empirical Musicology Review and Popular Music. Publications include the co-authored Music and Mind in Everyday Life (2010), Sounds Icelandic (2019), and monograph Björk (2009), the latter of which lead to a collaboration on the artist’s multi-media app album, Biophilia (2011). Current projects include an investigation into social and environmental action through music, and research into the implications of extended reality technologies and AI for music.

Elaine Chew is a pianist and mathematical scientist whose research centers on the computational modeling of musical structures, with present focus on performed structures and their connections to musician-listener physiology, and musical structures in arrhythmia ECGs. She integrates her research into concert-conversations that showcase scientific visualisations and lab-grown compositions. She is a senior researcher at the CNRS / STMS Laboratory (IRCAM).

Bob Sturm is Associate Professor of Computer Science at the Royal Institute of Technology, KTH. He has degrees in physics and engineering, and specializes in signal processing and machine learning applied to music data.

Viktoria Juganzon – Network Coordinator. I am a Kingston University PhD student, music educator and vocal arranger with a background in classical piano and contemporary vocals. My research is in the music education field, focusing on the transition from high school into further education. The aim is to test a musical genre crossover learning approach, learning classical music via popular music and music technology, alongside combining formal and informal learning methods. Along with teaching music in primary and secondary schools, I direct and write arrangements for the Benjamin Britten Music Academy Contemporary Vocal Ensemble and prepare students for the school productions.